Intelligent Subject and Knowledge Retrieval Algorithm Based on Ontology

Abstract:

For the problems of obscure demand of users, insufficiency and difficulty in correct acquisition in the process of knowledge retrieval, this paper combines with basic theory of interactive genetic algorithm to discuss its application model in the process of requirement and acquisition of knowledge retrieval. And then, it uses the interactive information produced in the retrieval process to make improvement on matching method based on concept map. It uses the interactive information produced in the retrieval process to calculate weight of users to search concept, which enhances the knowledge matching efficiency of concept map. Through test, it compares that intelligent knowledge retrieval system based on ontology has double advantages with high intelligence and efficiency.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 1452-1456
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.1452
• Online since: November 2014
• Authors: Ting Ting Liang
• Keywords: Concept Map, Interactive Genetic, Knowledge Retrieval, Ontology

References

[1] Li Wei. Problem Studys on Knowledge Organization Based on Ontology [D]. Jinlin: Thesis for doctor's degree of Northeast Normal University, (2007).

[2] Yang Jian, Zhang Xiaoling, Zhou Shaoyun. Reasoning Technology Summary Based on Article Case「J〕. Application of Computer in Software. 2008, 25(7): 228一229.

[3] Wang Xiangbin, Zhao Ke, Cheng Peitao etc. Knowledge Base Management System Based on Language Comprehension of Regional Science Nature [J]. Computer Technology and Development, 2009, 19(6): 61-64.

[4] Wang Bizuo, Wang Xi, Li Peng . Multiple Ontology Knowledge Retrieval Model Based on Ontology [J]. Information Retrieval, 2006, 6: 76-77, 81.

[5] Lu Ming, Li Guanyu, Shi Yimin. Ontology Reflection Study on Computer Learning in Semantics Network, 2009, 25(09): 186-187.

[6] Pang Xiongwen, Bao Su . Ontology Reflection Based on Regional Learning [J]. Computer Science, 2009, 36(03): 134-137.

[7] Yang Jianlin , Sun Mingjun . Concept Analysis on Knowledge Retrieval [J]. Information Theory and Practice, 2006, 4(29): 465-467.

[8] Zhang Han, Cui Lei . Application of Genetic Algorithm in Information Retrieval [J]. Medical Information Magazine, 2008, 11: 22-26.

[9] Gong Gu, Huang Yongqing, Hao Guosheng. Improvement Method and Application on Intersection Genetic Algorithm [J]. Computer Engineering, 2009, 35 (1): 165-167.

[10] Zhu Haiping. Semantics Retrieval Based on Matching of Concept Map [D]. Thesis for doctor's degree of Shanghai Jiao Tong University, (2006).